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3 - Contract Law and AI

AI-Infused Contracting and the Problem of Relationality – Is Trustworthy AI Possible?

from Part I - Law of Obligations

Published online by Cambridge University Press:  21 March 2024

By
T. T. Arvind
Edited by
Ernest Lim  and
Phillip Morgan
Ernest Lim
Affiliation:
National University of Singapore
Phillip Morgan
Affiliation:
University of York
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Summary

AI has the potential to overcome problems concerning the existing approaches to contract drafting, management and implementation, whilst also having the potential to exacerbate these problems. To deal with this risk and to create AI which is trustworthy in relation to contracting, such systems require channelling in a new direction, termed ‘transactional responsibility’. Legal regulation must be structured around the entirety of the socio-technical system which underpins AI.

Keywords

Contract lawAI-infused contractingcontract draftingcontract managementtransactional responsibility
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Chapter
Information
The Cambridge Handbook of Private Law and Artificial Intelligence , pp. 71 - 92
Publisher: Cambridge University Press
Print publication year: 2024

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  • Contract Law and AI
  • Edited by Ernest Lim, National University of Singapore, Phillip Morgan, University of York
  • Book: The Cambridge Handbook of Private Law and Artificial Intelligence
  • Online publication: 21 March 2024
  • Chapter DOI: https://doi.org/10.1017/9781108980197.005
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  • Contract Law and AI
  • Edited by Ernest Lim, National University of Singapore, Phillip Morgan, University of York
  • Book: The Cambridge Handbook of Private Law and Artificial Intelligence
  • Online publication: 21 March 2024
  • Chapter DOI: https://doi.org/10.1017/9781108980197.005
Available formats
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  • Contract Law and AI
  • Edited by Ernest Lim, National University of Singapore, Phillip Morgan, University of York
  • Book: The Cambridge Handbook of Private Law and Artificial Intelligence
  • Online publication: 21 March 2024
  • Chapter DOI: https://doi.org/10.1017/9781108980197.005
Available formats
×